This repository consists of collected data and code used to conduct studies described in the "Resistance Against Manipulative AI: Key Factors and Possible Actions" article, which was presented at 27th European Conference on Artificial Intelligence (2024).
├── data │ ├── manipulation-fuse - results for manipulation-fuses │ ├── ramai-game - prompt templates and hint samples used to generate AI hints in the RAMAI game │ ├── ramai-human - data used in the ramai-human chapter (demographics, hints trusted stats, manipulation detected stats) │ ├── ramai-llm - data used in the ramai-llm chapter (liwc statistics, hints annotations) │ └── raw-csv - raw data gathered during user studies ├── data_analysis - R code for data analysis ├── data_manipulation - python code for handling data ├── model_prompting - python code for prompting LLMs └── plots @inproceedings{wilczynski2024resistance, title={Resistance Against Manipulative AI: Key Factors and Possible Actions}, author={Wilczy{\'n}ski, Piotr and Mieleszczenko-Kowszewicz, Wiktoria and Biecek, Przemys{\l}aw}, booktitle={27th European Conference on Artificial Intelligence}, year={2024}, organization={IOS Press} }